title: Analysis of atrial fibrillation: from electrocardiogram signal processing to clinical management.
abstract: The analysis of atrial fibrillation in non-invasive ECG recordings has received considerable attention in recent years, spurring the development of signal processing techniques for more advanced characterization of the atrial waveforms than previously available. The present paper gives an overview of different approaches to the extraction of atrial activity in the ECG and to the characterization of the resulting atrial signal with respect to its spectral properties. So far, the repetition rate of the atrial waves is the most studied parameter and its significance in clinical management is briefly considered, including the identification of pathomechanisms and prediction of therapy efficacy.
authors.affiliation: Department of Electrical and Information Technology, Lund University, 221 00 Lund, Sweden. leif.sornmo@eit.lth.se
authors.forename: Leif
authors.initials: L
authors.lastname: Sörnmo
authors.forename: Martin
authors.initials: M
authors.lastname: Stridh
authors.forename: Daniela
authors.initials: D
authors.lastname: Husser
authors.forename: Andreas
authors.initials: A
authors.lastname: Bollmann
authors.forename: S Bertil
authors.initials: SB
authors.lastname: Olsson
mesh_terms: D001281:Atrial Fibrillation / Q000175:diagnosis* / Q000503:physiopathology; D035843:Biomedical Research / Q000639:trends; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D005583:Fourier Analysis; D006801:Humans; D015233:Models, Statistical; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors; D018487:Ventricular Dysfunction, Left / Q000175:diagnosis* / Q000209:etiology